Brent Lance

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 39 citations into it
• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 8 citations into it

Whom Brent Lance trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. J. Urgen Schmidhuber
4. Alex Krizhevsky
5. Yann LeCun

Papers from Brent Lance's perspective

Ordered by how strongly the researchers Brent Lance trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Dropout: a simple way to prevent neural networks from overfitting
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces (2016) — 4,485 citations